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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Assessment of spontaneous cardiovascular oscillations in Parkinson's disease
Gaetano Valenza, Stefano Orsolini, Stefano Diciotti, et al.
Biomedical Signal Processing and Control (2016) Vol. 26, pp. 80-89
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning
Wu Wang, Junho Lee, Fouzi Harrou, et al.
IEEE Access (2020) Vol. 8, pp. 147635-147646
Open Access | Times Cited: 232
Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology
Harald Hampel, Nicola Toschi, Claudio Babiloni, et al.
Journal of Alzheimer s Disease (2018) Vol. 64, Iss. s1, pp. S47-S105
Open Access | Times Cited: 138
Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine
Salim Lahmiri, Amir Shmuel
Biomedical Signal Processing and Control (2018) Vol. 49, pp. 427-433
Closed Access | Times Cited: 112
Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer’s disease
Salim Lahmiri, Amir Shmuel
Biomedical Signal Processing and Control (2018) Vol. 52, pp. 414-419
Closed Access | Times Cited: 91
Measures of sympathetic and parasympathetic autonomic outflow from heartbeat dynamics
Gaetano Valenza, Luca Citi, J. Philip Saul, et al.
Journal of Applied Physiology (2018) Vol. 125, Iss. 1, pp. 19-39
Open Access | Times Cited: 88
Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol
Sangwon Byun, Ah Young Kim, Eun Hye Jang, et al.
Computers in Biology and Medicine (2019) Vol. 112, pp. 103381-103381
Open Access | Times Cited: 86
Combining electroencephalographic activity and instantaneous heart rate for assessing brain–heart dynamics during visual emotional elicitation in healthy subjects
Gaetano Valenza, Alberto Greco, Claudio Gentili, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2016) Vol. 374, Iss. 2067, pp. 20150176-20150176
Open Access | Times Cited: 85
Predicting Mood Changes in Bipolar Disorder Through Heartbeat Nonlinear Dynamics
Gaetano Valenza, M. Nardelli, Antonio Lanatà, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 20, Iss. 4, pp. 1034-1043
Open Access | Times Cited: 62
Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study
Sangwon Byun, Ah Young Kim, Eun Hye Jang, et al.
Technology and Health Care (2019) Vol. 27, pp. 407-424
Open Access | Times Cited: 59
The role of electroencephalography electrical reference in the assessment of functional brain–heart interplay: From methodology to user guidelines
Diego Candia‐Rivera, Vincenzo Catrambone, Gaetano Valenza
Journal of Neuroscience Methods (2021) Vol. 360, pp. 109269-109269
Open Access | Times Cited: 54
Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations
Gaetano Valenza, Luca Passamonti, Andrea Duggento, et al.
Journal of The Royal Society Interface (2020) Vol. 17, Iss. 164, pp. 20190878-20190878
Open Access | Times Cited: 53
Heart Rate Variability Analyses in Parkinson’s Disease: A Systematic Review and Meta-Analysis
Konstantin G. Heimrich, Thomas Lehmann, Peter Schlattmann, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 959-959
Open Access | Times Cited: 47
Globally conditioned Granger causality in brain–brain and brain–heart interactions: a combined heart rate variability/ultra-high-field (7 T) functional magnetic resonance imaging study
Andrea Duggento, Marta Bianciardi, Luca Passamonti, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2016) Vol. 374, Iss. 2067, pp. 20150185-20150185
Open Access | Times Cited: 50
Complexity Variability Assessment of Nonlinear Time-Varying Cardiovascular Control
Gaetano Valenza, Luca Citi, Ronald G. García, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 45
PDD-ET: Parkinson’s Disease Detection Using ML Ensemble Techniques and Customized Big Dataset
Kalyan Chatterjee, Ramagiri Praveen Kumar, Anjan Bandyopadhyay, et al.
Information (2023) Vol. 14, Iss. 9, pp. 502-502
Open Access | Times Cited: 11
Sympathetic and parasympathetic central autonomic networks
Gaetano Valenza, Francesco Di Ciò, Nicola Toschi, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-17
Open Access | Times Cited: 3
Time-Resolved Brain-to-Heart Probabilistic Information Transfer Estimation Using Inhomogeneous Point-Process Models
Vincenzo Catrambone, Alireza Talebi, Riccardo Barbieri, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 11, pp. 3366-3374
Open Access | Times Cited: 20
Heart-lung sound separation by nonnegative matrix factorization and deep learning
Weibo Wang, Shubo Wang, Dimei Qin, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104180-104180
Open Access | Times Cited: 14
Different heart rate variability profile during sleep in mid-later life adults with remitted early-onset versus late-onset depression
Shawn D.X. Kong, Nicole Espinosa, Andrew C. McKinnon, et al.
Journal of Affective Disorders (2024) Vol. 358, pp. 175-182
Open Access | Times Cited: 2
Long Short-Term Memory-Based Deep Learning Models for Screening Parkinson’s Disease Using Sequential Diagnostic Codes
Seokjoon Yoon, Minki Kim, Woong‐Woo Lee
Journal of Clinical Neurology (2023) Vol. 19, Iss. 3, pp. 270-270
Open Access | Times Cited: 6
Inhomogeneous Point-Processes to Instantaneously Assess Affective Haptic Perception through Heartbeat Dynamics Information
Gaetano Valenza, Alberto Greco, Luca Citi, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 14
Characterization and classification of Parkinson’s disease patients based on symbolic dynamics analysis of heart rate variability
Guadalupe Dorantes-Méndez, Martín O. Méndez, L. E. Méndez-Magdaleno, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103064-103064
Closed Access | Times Cited: 10
Design and Implementation of ML Model for Early Diagnosis of Parkinson’s Disease using Gait Data Analysis in IoT Environment
Navita Mehra, Pooja Mittal
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 7
Open Access | Times Cited: 5
Resting-state brain correlates of cardiovascular complexity
Gaetano Valenza, Andrea Duggento, Luca Passamonti, et al.
(2017) Vol. 31, pp. 3317-3320
Closed Access | Times Cited: 5
Deep Learning Approaches in the Early Diagnosis of Parkinson's Disease
Bilal El‐Mansoury, Youssef Ait Hamdan, Kamal Smimih, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 128-149
Closed Access
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